Articles | Volume 20, issue 13
https://doi.org/10.5194/acp-20-7753-2020
https://doi.org/10.5194/acp-20-7753-2020
Research article
 | 
03 Jul 2020
Research article |  | 03 Jul 2020

Constraining remote oxidation capacity with ATom observations

Katherine R. Travis, Colette L. Heald, Hannah M. Allen, Eric C. Apel, Stephen R. Arnold, Donald R. Blake, William H. Brune, Xin Chen, Róisín Commane, John D. Crounse, Bruce C. Daube, Glenn S. Diskin, James W. Elkins, Mathew J. Evans, Samuel R. Hall, Eric J. Hintsa, Rebecca S. Hornbrook, Prasad S. Kasibhatla, Michelle J. Kim, Gan Luo, Kathryn McKain, Dylan B. Millet, Fred L. Moore, Jeffrey Peischl, Thomas B. Ryerson, Tomás Sherwen, Alexander B. Thames, Kirk Ullmann, Xuan Wang, Paul O. Wennberg, Glenn M. Wolfe, and Fangqun Yu

Viewed

Total article views: 4,561 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
3,258 1,244 59 4,561 448 60 76
  • HTML: 3,258
  • PDF: 1,244
  • XML: 59
  • Total: 4,561
  • Supplement: 448
  • BibTeX: 60
  • EndNote: 76
Views and downloads (calculated since 03 Jan 2020)
Cumulative views and downloads (calculated since 03 Jan 2020)

Viewed (geographical distribution)

Total article views: 4,561 (including HTML, PDF, and XML) Thereof 4,313 with geography defined and 248 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 23 Nov 2024
Download
Short summary
Atmospheric models overestimate the rate of removal of trace gases by the hydroxyl radical (OH). This is a concern for studies of the climate and air quality impacts of human activities. Here, we evaluate the performance of a commonly used model of atmospheric chemistry against data from the NASA Atmospheric Tomography Mission (ATom) over the remote oceans where models have received little validation. The model is generally successful, suggesting that biases in OH may be a concern over land.
Altmetrics
Final-revised paper
Preprint